disentangling-vae VS Awesome-VAEs

Compare disentangling-vae vs Awesome-VAEs and see what are their differences.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations (by YannDubs)
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset Mnist fashion-mnist representation-learning reproducible-research Deep Learning Pytorch disentanglement
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Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning Deep Learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
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disentangling-vae Awesome-VAEs
1 1
766 755
- -
0.0 0.0
over 1 year ago almost 3 years ago
Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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disentangling-vae

Posts with mentions or reviews of disentangling-vae. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

Awesome-VAEs

Posts with mentions or reviews of Awesome-VAEs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.
  • VAEs
    2 projects | /r/deeplearning | 29 Aug 2021
    List of VAE projects/works: https://github.com/matthewvowels1/Awesome-VAEs

What are some alternatives?

When comparing disentangling-vae and Awesome-VAEs you can also consider the following projects:

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

classification - Classification of the MNIST dataset using various Deep Learning techniques

awesome-self-supervised-speech-representation-learning - A comprehensive list of awesome self-supervised speech representation learning papers.

SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

disentangling-vae vs Efficient-VDVAE Awesome-VAEs vs PyTorch-VAE disentangling-vae vs PyTorch-VAE Awesome-VAEs vs awesome-datascience disentangling-vae vs scvi-tools Awesome-VAEs vs benchmark_VAE disentangling-vae vs classification Awesome-VAEs vs awesome-self-supervised-speech-representation-learning disentangling-vae vs benchmark_VAE Awesome-VAEs vs SimCLR disentangling-vae vs CelebAMask-HQ Awesome-VAEs vs stanford-cs-229-machine-learning